Automatic brain tumor grading from MRI data using convolutional neural
networks and quality assessment

Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment

25 September 2018

Sérgio Pereira

Carlos Alberto Silva

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Papers citing "Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment"

19 / 19 papers shown

Title
Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems Amr Gomaa Bilal Mahdy Niko Kleer Michael Feld Frank Kirchner Antonio Krüger 68 5 0 07 Jul 2023
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability Georgii Mikriukov Gesina Schwalbe Christian Hellert Korinna Bade FAtt 78 9 0 28 Apr 2023
An Efficient Ensemble Explainable AI (XAI) Approach for Morphed Face Detection Rudresh Dwivedi Ritesh Kumar Deepak Chopra Pranay Kothari Manjot Singh CVBM AAML 82 7 0 23 Apr 2023
A latent space for unsupervised MR image quality control via artifact assessment Lianrui Zuo Yuan Xue Blake E. Dewey Yihao Liu Jerry L. Prince A. Carass 71 3 0 01 Feb 2023
Cross-Modality Image Registration using a Training-Time Privileged Third Modality Qianye Yang David Atkinson Yunguan Fu Tom Syer Wen Yan S. Punwani Matthew J. Clarkson D. Barratt Tom Vercauteren Yipeng Hu 53 6 0 26 Jul 2022
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification Zhibin Liao Kewen Liao Haifeng Shen M. F. van Boxel J. Prijs R. Jaarsma J. Doornberg Anton Van Den Hengel Johan Verjans 54 17 0 21 Mar 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 120 58 0 05 Dec 2021
Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning Partoo Vafaeikia M. Wagner U. Tabori B. Ertl-Wagner Farzad Khalvati 29 7 0 29 Nov 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 85 320 0 01 Nov 2021
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis Bas H. M. van der Velden Hugo J. Kuijf K. Gilhuijs M. Viergever XAI 101 671 0 22 Jul 2021
One Map Does Not Fit All: Evaluating Saliency Map Explanation on Multi-Modal Medical Images Weina Jin Xiaoxiao Li Ghassan Hamarneh FAtt 45 16 0 11 Jul 2021
Deep Learning for Medical Anomaly Detection -- A Survey Tharindu Fernando Harshala Gammulle Simon Denman Sridha Sridharan Clinton Fookes OOD 68 282 0 04 Dec 2020
A Transfer Learning Based Active Learning Framework for Brain Tumor Classification Ruqian Hao Khashayar Namdar Lin Liu Farzad Khalvati MedIm 73 49 0 16 Nov 2020
Explainable deep learning models in medical image analysis Amitojdeep Singh S. Sengupta Vasudevan Lakshminarayanan XAI 94 497 0 28 May 2020
Deep Learning in Medical Image Registration: A Review Yabo Fu Y. Lei Tonghe Wang W. Curran Tian Liu Xiaofeng Yang 117 525 0 27 Dec 2019
Artificial Intelligence in Glioma Imaging: Challenges and Advances Weina Jin M. Fatehi Kumar Abhishek Mayur Mallya B. Toyota Ghassan Hamarneh 79 42 0 28 Nov 2019
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis Samuel Budd E. C. Robinson Bernhard Kainz LM&MA 73 484 0 07 Oct 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 155 1,456 0 17 Jul 2019
AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering Dwarikanath Mahapatra 69 15 0 06 Jul 2019